head to head · open source
Mem0 vs LiteLLM
Mem0 has 68,288 GitHub stars, 8,104 forks, 742 open issues and last shipped 4 days ago. LiteLLM has 62,569 stars, 12,940 forks, 5,022 open issues and last shipped yesterday. Mem0 leads on adoption by 9% (68,288 vs 62,569 stars). Mem0 is written in Python under Apache-2.0; LiteLLM is written in Python under a custom or non-standard licence. Mem0 has attracted 12% as many forks as stars, LiteLLM 21%. LiteLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Mem0 | LiteLLM | |
|---|---|---|
| GitHub stars | ★ 68K | ★ 63K |
| License | Apache-2.0 | Custom / other |
| Written in | Python | Python |
| Last push | 2026-10-30 | 2026-11-02 |
| Forks | ⑂ 8.1K | ⑂ 13K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Mem0 if
- You weight community size — 68K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick LiteLLM if
- You want the LiteLLM feature set and don't need the biggest community
- You prefer the Custom / other license terms
- Your stack matches Python
- You evaluated both and LiteLLM fits your workflow better
About Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
About LiteLLM
🚅 LiteLLM LiteLLM AI Gateway Open Source AI Gateway for 100+ LLMs. Self hosted. Enterprise ready. Call any LLM in OpenAI format. LiteLLM Proxy Server (AI Gateway) Hosted Proxy Enterprise Tier Website What is LiteLLM LiteLLM is an open source AI Gateway that gives you a single, unified interface to call 100+ LLM providers — OpenAI, Anthropic, Gemini, Bedrock, Azure, and more — using the OpenAI format. Use it as a Python SDK for direct library integration, or deploy the AI Gateway (Proxy Server) as a centralized service for your team or organization. Jump to LiteLLM Proxy (LLM Gateway) Docs Jump to Supported LLM…
read the full LiteLLM overview →
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Frequently asked questions
Is Mem0 or LiteLLM more popular?
Mem0 has 68,288 GitHub stars and LiteLLM has 62,569. Mem0 has the larger community by that measure.
Are Mem0 and LiteLLM free?
Both are open source. Mem0 is licensed under Apache-2.0, and LiteLLM has no licence declared in this registry. Both are free to self-host.
What is the difference between Mem0 and LiteLLM?
Mem0 is written in Python and LiteLLM in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Mem0 or LiteLLM?
Choose Mem0 if you want the larger community (68,288 stars) or its Apache-2.0 licence terms. Choose LiteLLM if its feature set, stack or Custom / other licence fits better. Both are self-hostable.